Applied AI Engineer

Stack

Responsibilities

• ▹Build and ship AI features end-to-end (model, system, user experience)
• ▹Design and iterate on prompts, tools, memory and agent workflows
• ▹Turn raw model outputs into structured, reliable and predictable behaviors
• ▹Debug issues across the full stack (model, orchestration, infra, UX)
• ▹Optimize for latency, cost and production reliability
• ▹Develop lightweight evaluation frameworks to measure real-world performance
• ▹Work closely with product and engineering teams

Requirements

• ▹Strong foundation in machine learning and modern neural network architectures
• ▹Hands-on experience with training, fine-tuning or deploying ML models
• ▹Ability to write clean, production-quality code
• ▹Comfort working across abstraction layers (model, infra, product)
• ▹Strong problem-solving skills in ambiguous, fast-moving environments
• ▹Bias toward shipping, iteration and continuous improvement

Soft skills

About the company

The company's mission is to build a proactive smart assistant for everyday users, bringing intelligence to conversations, errands and workflows with minimal prompting. They are a small, high-talent-density, hands-on team that moves at rapid speed while shipping high quality work.